Physics – Computational Physics
Scientific paper
2008-10-27
Computer Physics Communications, Vol.180, 231 (2009).
Physics
Computational Physics
17 pages, seven figures, four tables
Scientific paper
10.1016/j.cpc.2008.09.014
We present an efficient parallel algorithm for statistical Molecular Dynamics simulations of ion tracks in solids. The method is based on the Rare Event Enhanced Domain following Molecular Dynamics (REED-MD) algorithm, which has been successfully applied to studies of, e.g., ion implantation into crystalline semiconductor wafers. We discuss the strategies for parallelizing the method, and we settle on a host-client type polling scheme in which a multiple of asynchronous processors are continuously fed to the host, which, in turn, distributes the resulting feed-back information to the clients. This real-time feed-back consists of, e.g., cumulative damage information or statistics updates necessary for the cloning in the rare event algorithm. We finally demonstrate the algorithm for radiation effects in a nuclear oxide fuel, and we show the balanced parallel approach with high parallel efficiency in multiple processor configurations.
Grønbech-Jensen Niels
Jeon Byoungseon
No associations
LandOfFree
Efficient Parallel Algorithm for Statistical Ion Track Simulations in Crystalline Materials does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Efficient Parallel Algorithm for Statistical Ion Track Simulations in Crystalline Materials, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Efficient Parallel Algorithm for Statistical Ion Track Simulations in Crystalline Materials will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-323457